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authorship of 1-2 peer-reviewed publications. Contribute to the development of long-term model maintenance and update strategies. Required Qualifications and Experience PhD in Remote Sensing, Environmental
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or abroad, in Soil Science, Remote Sensing, Environmental Sciences, or Pedometrics; - Proven experience in pedometrics, soil remote sensing, predictive soil modeling, soil organic carbon, and data science
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Internal Number: JR90686 Position Summary This position will focus on integrating high-resolution field monitoring, remote sensing, and statistical and numerical modeling approaches to improve predictive
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Job Description We invite applications for a 3 year postdoctoral position to study ice sheet dynamics using remote sensing data. The postdoctoral position is a part of The Center for Ice-Sheet and
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Position Summary This position will focus on integrating high-resolution field monitoring, remote sensing, and statistical and numerical modeling approaches to improve predictive flood hazard
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become attractive for commercial partners Develop research applications of Doppler wind lidars Supervise MSc student projects and co-supervise PhD students Apply for funding within remote sensing for wind
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and radar remote sensing, climate time series, and hydrological models. The work will employ machine learning and explainable AI techniques to improve flood prediction under different hydroclimatic
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Basic Function: Remote sensing of biodiversity and habitat is well developed at regional and national scale
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Agriculture Our laboratory, Center for Remote Sensing Applications (CRSA), is seeking a highly motivated postdoctoral researcher to join our team working on a critical project focused on climate change
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algorithm development and satellite remote sensing • Good written and spoken English • Ability to work independently as well as in a team • Proficiency in programming languages (e.g. Python, R, Fortran